상세정보
학술대회
Route Selection and Rate Allocation Using Evolutionary Computation Algorithms in Multirate Multicast Networks
- 저자
- 김선진, 최문기
- 발행일
- 200611
- 출처
- Mexican International Conference on Artificial Intelligence (MICAI) 2006 (LNCS 4293), v.4293, pp.426-438
- 협약과제
- 06MD2300, u-City 적용 센서네트워크 시스템 개발, 표철식
- 초록
- In this paper, we simultaneously address the route selection and rate allocation problem in multirate multicast networks. We propose the evolutionary computation algorithm based on a genetic algorithm for this problem and elaborate upon many of the elements in order to improve solution quality and computational efficiency in applying the proposed methods to the problem. These include: the genetic representation, evaluation function, genetic operators and procedure. Additionally, a new method using an artificial intelligent search technique, called the coevolutionary algorithm, is proposed to achieve better solutions. The results of extensive computational simulations show that the proposed algorithms provide high quality solutions and outperform existing approach. © Springer-Verlag Berlin Heidelberg 2006.
- KSP 제안 키워드
- Artificial Intelligent, Coevolutionary algorithm, Computational Efficiency, Evaluation Function, Evolutionary Computation(EC), Evolutionary Computation algorithms, Genetic Algorithm, Genetic Operators, Genetic Representation, Intelligent search technique, Route selection